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Tesla Holiday Update: New UI for Model 3 and Y, Light Show, blind spot camera improvements & more

(Credit: Teslascope)

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Just a few days before Christmas, Tesla is kicking off the holidays with a bang. This year’s Holiday Update includes a few fun surprises for Tesla owners, including new games and a few other fun features. 

Teslascope, a Tesla software update tracker service, has shared that the 2021.44.25 update is being rolled out to employees for now, with a wide release following in the lead up to Christmas. Reports shared online suggest that the update works very smoothly on vehicles like the Model 3 and Model Y, however.

New Features

First off is the Light Show, which enables Tesla vehicles to dance to a choreographed light show any time of the year. The feature was a signature trick of the Model X, so it is pretty interesting that Tesla is now rolling it out to the other vehicles in its lineup. The Light Show feature can be accessed through the Toybox. 

In its Holiday Update, Tesla also introduced the Customizable App Launcher, allowing owners to customize the menu bar in their infotainment systems. This should go perfectly hand-in-hand with the Model 3 and Model Y’s update UI, which now matches the interface of the Model S Plaid and new Model X that were rolled out this year.

“Drag and drop your favorite apps to any position along the bottom menu bar for easy access. To customize your menu bar, hold any icon and then drag to reorder. To adjust climate controls such as heated seats and defrost, tap on the temperature or swipe up from the bottom of the screen,” the update’s Release Notes read. 

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Feature Improvements

As with any update, Tesla improved a few key features, including vehicle controls, blind spot monitoring, and Waypoints. 

Simplified Controls makes it easier for Tesla owners to focus on navigation, media, and the most common primary controls. The improvement should make accessing features in the infotainment system easier, so driving or operating a Tesla may be more convenient and perhaps even safer. 

The Blind Spot Camera feature is probably one of the best improvements in the Tesla Holiday update, as it provides vehicles with a video feed showing their blind spot when a turn signal is activated. “You can now automatically see a live camera view of your blind spot whenever you activate the turn signal,” the Release Notes for the feature read. 

The Blind Spot Camera feature will most likely improve the safety of Tesla’s vehicles. Tap Controls>Autopilot>Automatic Blind Spot Camera to enable the feature.

Tesla also made trips easier with Edit Waypoints. The navigation improvements will probably be quite useful to families taking trips this holiday. The feature allows drivers to reorder or add multiple destinations to their route. Edit Waypoints will update the arrival times for each change on the route. “To add a stop, or edit a trip, initiate a navigation route, and tap the more options button not he turn list,” wrote Tesla on the Edit Waypoints Release Notes.

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New Arcade Improvements

Being a Holiday Update, 2021.44.25 is rife with a number of improvements for Tesla Theater and Tesla Arcade. Access to a popular social media platform has also been enabled. 

First up is Sonic the Hedgehog, which Elon Musk himself announced on Twitter recently. Multiplayer support for The Battle for Polytopia has also been enabled, which should make in-car gaming sessions even more fun. 

Sudoku has also been added to the Tesla Arcade, complete with a mode that includes a smart hint system for beginners. Also, the popular social media app TikTok is now accessible to Teslas

Other Improvements

Update 2021.44.25 is not all fun and games. Tesla included some Cold Weather Improvements to its Holiday Update, too. Preconditioning the cabin from the Tesla Mobile App when the battery is at a lower state of charge is now enabled. First row seat heaters can now automatically regulate seat temperatures based on the cabin’s environment and control set temperature. 

Managing dashcam clips is also easier, as videos can now be deleted directly from the infotainment system. Themes for the infotainment system have been rolled out, too. For instance, Dark Mode is now available for Tesla displays. Dark Mode may be a simple update, but it could make vehicles safer, as a darker display reduced the chance of screen glare for the driver. 

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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